公开(公告)号：US20230214304A1

公开(公告)日：2023-07-06

申请号：US17646559

申请日：2021-12-30

Applicant: Juniper Networks, Inc.

Inventor： Sanjeev Kumar Mishra ,  Ankur Neog ,  Ramakrishnan Rajagopalan ,  Ravindran Thangarajah ,  Shamantha Krishna K G

IPC: G06F11/273 ,  G06F11/267 ,  G06F11/27

CPC classification number: G06F11/2733 ,  G06F11/267 ,  G06F11/27

Abstract: In general, a device comprising a processor and a memory may be configured to perform various aspects of the techniques described in this disclosure. The processor may conduct, based on configuration parameters, each of a plurality of simulation iterations within the test environment to collect a corresponding plurality of simulation datasets representative of operating states of the network device. The processor may perform a regression analysis with respect to each of the plurality of configuration parameters and each of the plurality of simulation datasets to generate a light weight model representative of the network device that predicts an operating state of the network device. The processor may output the light weight model for use in a computing resource restricted network device to enable prediction of the operating state of the computing resource restricted network device when configured with the configuration parameters. The memory may store the light weight model.

公开(公告)号：US11797408B2

公开(公告)日：2023-10-24

申请号：US17646559

申请日：2021-12-30

Applicant: Juniper Networks, Inc.

Inventor： Sanjeev Kumar Mishra ,  Ankur Neog ,  Ramakrishnan Rajagopalan ,  Ravindran Thangarajah ,  Shamantha Krishna K G

IPC: G06F11/273 ,  G06F11/27 ,  G06F11/267

CPC classification number: G06F11/2733 ,  G06F11/267 ,  G06F11/27

Abstract: In general, a device comprising a processor and a memory may be configured to perform various aspects of the techniques described in this disclosure. The processor may conduct, based on configuration parameters, each of a plurality of simulation iterations within the test environment to collect a corresponding plurality of simulation datasets representative of operating states of the network device. The processor may perform a regression analysis with respect to each of the plurality of configuration parameters and each of the plurality of simulation datasets to generate a light weight model representative of the network device that predicts an operating state of the network device. The processor may output the light weight model for use in a computing resource restricted network device to enable prediction of the operating state of the computing resource restricted network device when configured with the configuration parameters. The memory may store the light weight model.